Characterizing Three-Dimensional Hydraulic Conductivity Distributions Using Qualitative and Quantitative Geologic Borehole Data: Application to a Field Site
The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first clas...
Ausführliche Beschreibung
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| Autor*in: |
Zhang, Zhihui [verfasserIn] Brusseau, Mark L. [verfasserIn] |
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| Format: |
E-Artikel |
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| Erschienen: |
Oxford, UK: Blackwell Publishing Ltd ; 1998 |
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| Umfang: |
Online-Ressource |
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| Reproduktion: |
2005 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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| Übergeordnetes Werk: |
In: Ground water - Oxford [u.a.] : Wiley-Blackwell, 1963, 36(1998), 4, Seite 0 |
| Übergeordnetes Werk: |
volume:36 ; year:1998 ; number:4 ; pages:0 |
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| DOI / URN: |
10.1111/j.1745-6584.1998.tb02842.x |
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| 520 | |a The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated. | ||
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10.1111/j.1745-6584.1998.tb02842.x doi (DE-627)NLEJ242815774 DE-627 ger DE-627 rakwb Zhang, Zhihui verfasserin aut Characterizing Three-Dimensional Hydraulic Conductivity Distributions Using Qualitative and Quantitative Geologic Borehole Data: Application to a Field Site Oxford, UK Blackwell Publishing Ltd 1998 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| Brusseau, Mark L. verfasserin aut In Ground water Oxford [u.a.] : Wiley-Blackwell, 1963 36(1998), 4, Seite 0 Online-Ressource (DE-627)NLEJ243927509 (DE-600)2066386-9 1745-6584 nnns volume:36 year:1998 number:4 pages:0 http://dx.doi.org/10.1111/j.1745-6584.1998.tb02842.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 1998 4 0 |
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10.1111/j.1745-6584.1998.tb02842.x doi (DE-627)NLEJ242815774 DE-627 ger DE-627 rakwb Zhang, Zhihui verfasserin aut Characterizing Three-Dimensional Hydraulic Conductivity Distributions Using Qualitative and Quantitative Geologic Borehole Data: Application to a Field Site Oxford, UK Blackwell Publishing Ltd 1998 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| Brusseau, Mark L. verfasserin aut In Ground water Oxford [u.a.] : Wiley-Blackwell, 1963 36(1998), 4, Seite 0 Online-Ressource (DE-627)NLEJ243927509 (DE-600)2066386-9 1745-6584 nnns volume:36 year:1998 number:4 pages:0 http://dx.doi.org/10.1111/j.1745-6584.1998.tb02842.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 1998 4 0 |
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10.1111/j.1745-6584.1998.tb02842.x doi (DE-627)NLEJ242815774 DE-627 ger DE-627 rakwb Zhang, Zhihui verfasserin aut Characterizing Three-Dimensional Hydraulic Conductivity Distributions Using Qualitative and Quantitative Geologic Borehole Data: Application to a Field Site Oxford, UK Blackwell Publishing Ltd 1998 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| Brusseau, Mark L. verfasserin aut In Ground water Oxford [u.a.] : Wiley-Blackwell, 1963 36(1998), 4, Seite 0 Online-Ressource (DE-627)NLEJ243927509 (DE-600)2066386-9 1745-6584 nnns volume:36 year:1998 number:4 pages:0 http://dx.doi.org/10.1111/j.1745-6584.1998.tb02842.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 1998 4 0 |
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10.1111/j.1745-6584.1998.tb02842.x doi (DE-627)NLEJ242815774 DE-627 ger DE-627 rakwb Zhang, Zhihui verfasserin aut Characterizing Three-Dimensional Hydraulic Conductivity Distributions Using Qualitative and Quantitative Geologic Borehole Data: Application to a Field Site Oxford, UK Blackwell Publishing Ltd 1998 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| Brusseau, Mark L. verfasserin aut In Ground water Oxford [u.a.] : Wiley-Blackwell, 1963 36(1998), 4, Seite 0 Online-Ressource (DE-627)NLEJ243927509 (DE-600)2066386-9 1745-6584 nnns volume:36 year:1998 number:4 pages:0 http://dx.doi.org/10.1111/j.1745-6584.1998.tb02842.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 1998 4 0 |
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10.1111/j.1745-6584.1998.tb02842.x doi (DE-627)NLEJ242815774 DE-627 ger DE-627 rakwb Zhang, Zhihui verfasserin aut Characterizing Three-Dimensional Hydraulic Conductivity Distributions Using Qualitative and Quantitative Geologic Borehole Data: Application to a Field Site Oxford, UK Blackwell Publishing Ltd 1998 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated. 2005 Blackwell Publishing Journal Backfiles 1879-2005 |2005|||||||||| Brusseau, Mark L. verfasserin aut In Ground water Oxford [u.a.] : Wiley-Blackwell, 1963 36(1998), 4, Seite 0 Online-Ressource (DE-627)NLEJ243927509 (DE-600)2066386-9 1745-6584 nnns volume:36 year:1998 number:4 pages:0 http://dx.doi.org/10.1111/j.1745-6584.1998.tb02842.x text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 36 1998 4 0 |
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The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated. |
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The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated. |
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The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ242815774</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707164457.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">120427s1998 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/j.1745-6584.1998.tb02842.x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ242815774</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Zhihui</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Characterizing Three-Dimensional Hydraulic Conductivity Distributions Using Qualitative and Quantitative Geologic Borehole Data: Application to a Field Site</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford, UK</subfield><subfield code="b">Blackwell Publishing Ltd</subfield><subfield code="c">1998</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The focus of this paper is the characterization of three-dimensional hydraulic conductivity distributions using qualitative and quantitative geologic borehole data. We illustrate an approach that entails a three-step procedure, where lithologic information reported in the borehole logs is first classified into texture classes. Representative hydraulic conductivity values are then calculated for each texture class using a correlation relating measured lithologic and hydraulic data from core samples. The generalized kernel estimator method, which can take full advantage of the characteristics of borehole log data and is applicable to statistically nonstationary systems, is used thereafter to generate the three-dimensional distributions of hydraulic conductivity. An application using borehole data from a trichloroethene (TCE)-contaminated Superfund site in Tucson, Arizona, is presented and used to test the proposed methodology. The simulated hydraulic conductivity distributions appear reasonable and the simulated permeability distributions for several cross sections agree well with the hydrogeologic cross-sectional maps. The use of mean permeability indicators for differentiating zones of high and low permeability is also investigated.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="d">2005</subfield><subfield code="f">Blackwell Publishing Journal Backfiles 1879-2005</subfield><subfield code="7">|2005||||||||||</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brusseau, Mark L.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Ground water</subfield><subfield code="d">Oxford [u.a.] : Wiley-Blackwell, 1963</subfield><subfield code="g">36(1998), 4, Seite 0</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ243927509</subfield><subfield code="w">(DE-600)2066386-9</subfield><subfield code="x">1745-6584</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:36</subfield><subfield code="g">year:1998</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1111/j.1745-6584.1998.tb02842.x</subfield><subfield code="q">text/html</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DJB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">36</subfield><subfield code="j">1998</subfield><subfield code="e">4</subfield><subfield code="h">0</subfield></datafield></record></collection>
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